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StoreRouter

One API for all stores. Ecommerce data for AI agents.

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API providing structured, enriched product data from across e-commerce stores in one schema for AI agents to search, parse and compare products without

Overview

Screenshot of the StoreRouter homepage

The StoreRouter homepage

StoreRouter is an API platform that provides AI agents with structured, enriched product data from thousands of e-commerce stores. It enables agents to search across multiple stores, parse any product page, and find alternative products—all in a single unified schema without requiring web scraping.

The platform handles the complete data pipeline: fetching product pages from stores, parsing product information into a normalized format, enriching data with derived attributes like fit, fabric, and scent notes, and maintaining a live catalog that automatically updates as stores change. StoreRouter returns results in about 100 milliseconds with high accuracy and consistency.

The service operates as a live catalog with coverage of 3,718 stores and over 7 million products. It supports multiple access methods including REST API, MCP, CLI, and TypeScript and Python SDKs. Pricing is per successful request with no subscriptions or seat fees.

Capabilities

  • Search across multiple e-commerce stores with catalog coverage of 3,718 stores and over 7 million products
  • Parse any product page into structured, normalized schema automatically
  • Find similar products across different domains and stores
  • Brand search and profile data with coverage and top categories
  • Live catalog that auto-updates when stores redesign or change
  • Enriched product attributes including fit, fabric, scent notes, and category-specific facets
  • Fast response time of approximately 100 milliseconds per request
  • Multiple access methods: REST API, MCP, CLI, Python and TypeScript SDKs
  • MCP integration with OAuth for use with Claude, Cursor and other MCP clients
  • Pay-per-request pricing with no subscriptions or seat fees

Pricing

Pricing model: Paid

Lookup & Parse: $2 per 1,000 requests. Search: $14 per 1,000 requests. Free credit: $5 every month per organization. Only successful 2xx responses are billed. Purchased credit never expires.

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StoreRouter fact sheet

Community votes0
Based inUnited States
Websitestorerouter.ai

StoreRouter metrics

Vendor metrics for storerouter.ai: Ahrefs Domain Rating and Majestic link data, with the delta since the last review.

Domain Rating
4
no change since last check
Trust Flow
2
no change since last check
Citation Flow
33
no change since last check
Referring domains
24
no change since last check
External backlinks
13,254
no change since last check

Vendor Domain Rating (Ahrefs) checked 6 Nov 2026, spec changed 4 Nov 2026. Vendor topic: Computers/Programming/Internet (2). Vendor Majestic data checked 4 Nov 2026, spec changed 4 Nov 2026. Link metrics supplied by Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.

StoreRouter vendor domain

Open the vendor record

We read this from the registry's RDAP record on 6 Nov 2026, 06:21 UTC.

Domain age
1 month
Registered
Expires
Registrar
GoDaddy.com, LLC
DNSSEC
Signed

Vendor domain report: storerouter.ai

StoreRouter post-launch report

Measured after StoreRouter went live on SaaS Directory Pro on 4 November 2026.
MeasureAt launch, then latest
Domain Rating (Ahrefs)4 to 4 no change since launch
4 Nov 2026, then 5 Nov 2026
Trust Flow (Majestic)2
first measured 4 Nov 2026
Referring domains (Majestic)24
first measured 4 Nov 2026

Day 1 since launch. Next receipt: day 30, 4 Dec 2026. Many things move these figures, so a change is not proof of cause. Only stored readings are shown.

Biggest gains on SaaS Directory Pro

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Buyer questions

How does StoreRouter compare to using a headless browser with LLM reading?

StoreRouter is 100× faster (about 100 ms vs. 10 seconds) and 500× cheaper than using a headless browser approach. StoreRouter reads each store with code rather than a model, returning structured and enriched product data consistently, while headless browsers require launching sessions, routing through proxies, waiting out bot checks, and dealing with JavaScript rendering.

What happens when stores redesign their websites?

StoreRouter automatically handles store redesigns. When a store changes its website design, StoreRouter re-learns that specific store while all other stores continue answering queries normally. This prevents the silent failures that occur with traditional scrapers.

How is the data structured across different stores?

Every product keeps the store's original facts mapped into one unified schema, then gets enriched with category-specific attributes the page implies but never labels. For example, apparel products get fit, fabric, and neckline attributes; fragrances get scent notes; and furniture gets upholstery details. This normalization allows agents to search, filter and compare across every store consistently.

What catalog coverage does StoreRouter provide?

StoreRouter indexes 3,718 stores with 7,425,565 products and 23,593 brands as of November 4, 2026. Coverage expands automatically by demand when agents request stores not yet in the catalog.

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StoreRouter has a free listing. The owner can unlock the full profile with a paid launch for $5:

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  • Milestones (locked)
  • Demo video (locked)
  • Dofollow website link (locked)

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